论文标题
烟花算法的研究综述
Review of research on fireworks algorithm
论文作者
论文摘要
烟花算法是一种新型的智能优化算法。由于其快速的收敛速度，易于实施，爆炸性，多样性，简单性和随机性，最近在许多研究领域中引起了越来越多的关注。本文介绍了烟花算法的背景，组成，改进思想（分析和改进操作员，改进混合算法）及其在连续优化，离散优化，单目标优化，多目标优化和其他领域中的应用。最后，总结了烟花算法的未来研究方向，包括理论分析，操作员分析和改进，混合算法研究和算法应用。
Fireworks algorithm is a new type of intelligent optimization algorithm. Because of its fast convergence speed, easy implementation, explosiveness, diversity, simplicity and randomness, it has attracted more and more attention in many research fields recently. This paper introduces the background, composition, improvement idea of fireworks algorithm (analysis and improvement of operator, improvement of hybrid algorithm), and its application in continuous optimization, discrete optimization, single-objective optimization, multi-objective optimization and other fields. Finally, the future research directions of fireworks algorithm are summarized, including theoretical analysis, operator analysis and improvement, hybrid algorithm research and algorithm application.
